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Sphere Packing Aided Surface Reconstruction for Multi-view Data

Kun Liu 1 Rhaleb Zayer 2 Patricio Alejandro Galindo 2
1 ALICE - Geometry and Lighting
Inria Nancy - Grand Est, LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry
2 ALICE - Geometry and Lighting
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Surface reconstruction has long been targeted at scan data. With the rise of multi-view acquisition, existing surface reconstruction techniques often turn out to be ill adapted to the highly irregular sampling and multilayered aspect of such data. In this paper, a novel surface reconstruction technique is developed to address these new challenges by means of an advancing front guided by a sphere packing methodology. The method is fairly simple and can efficiently triangulate point clouds into high quality meshes. The substantiated experimental results demonstrate the robustness and the generality of the proposed method.
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https://hal.inria.fr/hal-01093210
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Submitted on : Wednesday, December 10, 2014 - 1:15:38 PM
Last modification on : Friday, February 26, 2021 - 3:28:08 PM
Long-term archiving on: : Wednesday, March 11, 2015 - 11:00:56 AM

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Kun Liu, Rhaleb Zayer, Patricio Alejandro Galindo. Sphere Packing Aided Surface Reconstruction for Multi-view Data. 10th International Symposium on Visual Computing, Dec 2014, Las Vegas, NV, United States. ⟨hal-01093210⟩

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